Department of Computer Science and Engineering, Sona College of Technology, Salem 636005, India.
Department of Electrical and Communication Engineering, The PNG University of Technology, Lae 411, Papua New Guinea.
Sensors (Basel). 2019 Dec 12;19(24):5486. doi: 10.3390/s19245486.
Energy conservation is one of the most critical problems in Internet of Things (IoT). It can be achieved in several ways, one of which is to select the optimal route for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for IoT. The RPL changes its path frequently while transmitting the data from source to the destination, due to high data traffic in dense networks. Hence, it creates data traffic across the nodes in the networks. To solve this issue, we propose Energy and Delay Aware Data aggregation in Routing Protocol (EDADA-RPL) for IoT. It has two processes, namely parent selection and data aggregation. The process of parent selection uses routing metric residual energy (RER) to choose the best possible parent for data transmission. The data aggregation process uses the compressed sensing (CS) theory in the parent node to combine data packets from the child nodes. Finally, the aggregated data transmits from a downward parent to the sink. The sink node collects all the aggregated data and it performs the reconstruction operation to get the original data of the participant node. The simulation is carried out using the Contiki COOJA simulator. EDADA-RPL's performance is compared to RPL and LA-RPL. The EDADA-RPL offers good performance in terms of network lifetime, delay, and packet delivery ratio.
节能是物联网 (IoT) 中最关键的问题之一。可以通过多种方式实现节能，其中一种方法是选择数据传输的最佳路径。用于低功耗有损网络的 IPv6 路由协议 (RPL) 是物联网的标准化路由协议。由于密集网络中的数据流量较高，RPL 在将数据从源传输到目的地时会频繁更改路径。因此，它会在网络中的节点之间创建数据流量。为了解决这个问题，我们为物联网提出了一种基于路由协议的节能和延迟感知的数据聚合 (EDADA-RPL)。它有两个过程，即父节点选择和数据聚合。父节点选择过程使用路由度量残余能量 (RER) 来选择最佳的父节点进行数据传输。数据聚合过程使用父节点中的压缩感知 (CS) 理论来合并来自子节点的数据分组。最后，聚合后的数据从下一个父节点传输到汇聚节点。汇聚节点收集所有聚合后的数据，并执行重建操作以获取参与节点的原始数据。使用 Contiki COOJA 模拟器进行仿真。将 EDADA-RPL 的性能与 RPL 和 LA-RPL 进行了比较。EDADA-RPL 在网络寿命、延迟和分组投递率方面表现出色。
